data-storytelling

Name: data-storytelling
Availability: InStock
Author: miptah21

Transform analysis results into stakeholder-ready data narratives with structure and visuals.

2|Updated Apr 8, 2026

Search Tags:#data storytelling #visualization #stakeholder communication #recommendations #executive reporting #analytics narrative #dashboard presentation

Ready to run

npx skills add https://github.com/miptah21/skills --skill data-storytelling-miptah21

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-storytelling
Source: https://github.com/miptah21/skills/tree/main/.agents/skills/data-storytelling
Command: npx skills add https://github.com/miptah21/skills --skill data-storytelling-miptah21

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you convert raw analytics into clear, persuasive stories that drive stakeholder decisions instead of producing disconnected charts and vague observations.

Core Features & Use Cases

Story-first structure: Uses a repeatable narrative arc (Setup → Conflict → Resolution) to guide what to say and in what order.
Actionable insight framing: Translates findings into recommendations with an explicit call to action and expected impact.
Stakeholder-friendly visualization guidance: Recommends chart types, annotation patterns, and “data-ink” best practices to improve clarity.
Common use cases: Quarterly business reviews, investor decks, executive summaries, and reports for non-technical audiences.

Quick Start

Use the data-storytelling skill to draft an executive presentation narrative for your latest KPI dashboard, including a hook, key insights, and a decision-focused recommendation.

Frequently Asked Questions about data-storytelling

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I turn analytics data into an executive presentation narrative?▼

Use data storytelling to transform raw KPI dashboards into persuasive narratives. It structures findings into a story arc, recommends visualizations, and translates insights into quantified recommendations for executive audiences.

What is the best way to structure a quarterly business review for stakeholders?▼

Structure a quarterly business review using a story-first narrative arc: Setup, Conflict, and Resolution. This approach frames actionable insights with explicit calls to action and expected impact for stakeholders.

How do I frame data insights for non-technical audiences?▼

Frame data insights for non-technical audiences by translating findings into actionable recommendations with explicit calls to action. Prioritize quantified impact and use stakeholder-friendly visualization guidance for clarity.

What visualization types should I use for dashboard presentations?▼

For dashboard presentations, use visualization guidance that recommends specific chart types, annotation patterns, and data-ink best practices. This improves clarity and ensures your data narrative is stakeholder-ready.

Does data storytelling work for investor deck preparation?▼

Yes, data storytelling works for investor deck preparation. It transforms raw analytics into persuasive materials by applying a clear narrative arc, stakeholder-friendly visuals, and decision-focused recommendations.